Auflistung nach Autor:in "Bork, Dominik"

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  • Vorschaubild
    Publikation
    Decentralized autonomous organizations – Evolution, challenges, and opportunities
    (2022) Schneider, Bettina; Ballesteros, Ruben; Moriggl, Pascal; Asprion, Petra; Bork, Dominik; Barat, Souvik; Asprion, Petra; Marcelletti, Alessandro; Morichetta, Andrea; Schneider, Bettina; Kulkarni, Vinay; Breu, Ruth; Zech, Philipp [in: Proceedings of the PoEM 2022 Workshops and Models at Work]
    A decentralized autonomous organization (DAO) is an emerging entity facilitated through blockchain technology. It operates under the principle of a decentralized governance structure void of hierarchical leadership, and decisions are made based on community consensus. As DAO and its mechanisms are still in an early stage, its potential evolution and future influence on enterprises remain unclear. This work elaborates on this emerging type of organization through a literature review and case studies of DAOs to demonstrate the current state of the art. The findings presented include a brief discussion of the technology that facilitates these organizations. Additionally, advancements and the common characteristics of existing DAOs are presented. Examining current and defunct DAOs revealed the challenges these organizations should address to reach their full potential in future application areas. Finally, it is concluded which organizations and industries could most likely benefit from the DAO concept in future.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Ontology-based visualization for business model design
    (Springer, 2020) Peter, Marco; Montecchiari, Devid; Hinkelmann, Knut; Gatziu Grivas, Stella; Grabis, Jānis; Bork, Dominik [in: The Practice of Enterprise Modeling. 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25-27, 2020. Proceedings]
    The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a speci c ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.
    04B - Beitrag Konferenzschrift